Analysis of artefacts in EEG signal registered during anti-G straining maneuvers

Marcin Kołodziej , Krzysztof Kowalczuk , Andrzej Majkowski , Paweł Tarnowski , Stefan P. Gaździński , Remigiusz Rak

Abstract

An anti-G straining maneuver (AGSM) is an essential element of training pilots of high-maneuver aircrafts. Electroencephalographic signal (EEG) registered during such maneuvers could be used to detect cerebral ischemia. AGSM involves complicated physical tasks, from stretching certain parts of muscles through adequate breathing. This results in the creation of extremely large muscle artefacts, which significantly disrupt the recorded EEG signals. The presented research concerned EEG signals, recorded during individual AGSM phases, inside an overload centrifuge. The largest artefacts in the EEG band (0.5-300Hz) were observed for the electrodes Fp1, F9, FT9 and EMG1 located on cheek. The signal from the Cz and Pz electrodes appeared to be the least disturbed.

Author Marcin Kołodziej (FoEE / ITEEMIS)
Marcin Kołodziej,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Krzysztof Kowalczuk
Krzysztof Kowalczuk,,
-
, Andrzej Majkowski (FoEE / ITEEMIS)
Andrzej Majkowski,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Paweł Tarnowski (FoEE / ITEEMIS)
Paweł Tarnowski,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Stefan P. Gaździński
Stefan P. Gaździński,,
-
, Remigiusz Rak (FoEE / ITEEMIS)
Remigiusz Rak,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
Journal seriesPrzegląd Elektrotechniczny, ISSN 0033-2097
Issue year2020
Vol96
Pages124-128
Publication size in sheets0.5
ASJC Classification2208 Electrical and Electronic Engineering
DOIDOI:10.15199/48.2020.01.27
Languageen angielski
Score (nominal)20
Score sourcejournalList
ScoreMinisterial score = 20.0, 28-08-2020, ArticleFromJournal
Publication indicators Scopus Citations = 0; WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.434; WoS Impact Factor: 2013 = 0.0 (2)
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